Organic farmers make system-level crop protection decisions that combine complementary insect, disease, nematode, and weed management strategies. Data from a national survey of U.S. organic farmers were used in a multivariate count data model to identify the farm and regional factors influencing...

Abstract: This paper examines the factors that influence earned income of organic farmers given their decisions to engage in local selling. The model explicitly accounts for the sorting of producers across different levels of commitment to local sales on the basis of both observable and...

We develop measures of technical and allocative efficiency of producers in marketing certified organic products. A stochastic output distance frontier and the associated revenue share equations are estimated using comprehensive U.S. data on certified organic producers. Farm-level measures of...

Organic farmers, wholesalers, and retailers need reliable price forecasts to improve their decision- making practices. This paper presents a methodology and protocol to select the best-performing method from several time and frequency domain candidates. Weekly farmgate prices for organic fresh...

A stochastic frontier model is used to explain the performance evaluation of U.S. university extension providers by organic producers. The model makes explicit the nonmanagerial factors that influence both performance ratings and performance efficiency, defined as achieving a rating as close to...